Job Description

As part of the Peacock Data Science team, the Data Scientist will be responsible for creating analytical solutions for one or more verticals of NBCU’s video streaming service including, but not limited to, the recommender system, automated marketing, personalized advertisement, commerce and revenue optimization systems, customer journey and CRM solutions. In this role, the Data Scientist will use advanced data science methodologies including collaborative filtering, deep learning, reinforcement learning, on-line modeling etc. and work closely with business owners, teammates and engineers to build a state-of-the-art real-time video streaming service.

RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO

• Build analytical models using statistical, machine learning and data mining methodologies.
• Apply cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modeling process.
• Take an active role in assisting team management and business stakeholders in preparing modeling and system requirements.
• Use big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects. Maintains up to date knowledge of the relevant data set structures, access levels and ownership information.
• Collaborate with engineering teams to build real-time and automated batch implementations of the data science solutions.
• Continually work on improving the codebase and machine learning lifecycle infrastructure. Have active participation in all aspects of the team work.

Salary Range: $95,000 - $130,000

Qualifications

QUALIFICATIONS/REQUIREMENTS

•  Bachelor’s or advanced degree with specialization in Statistics, Business Analytics, Data Science or similar quantitative field.
• Hands on experience in statistical methods and machine learning with special emphasis on the advanced data science algorithms like neural networks, SVM, random forests, bagging, gradient boosting machines, k-means++, deep learning or reinforcement learning. Expert level in 3+ classes of algorithms.
• Experience with recommender systems.
• Experience with deep learning using TensorFlow.
• Experience implementing scalable, distributed, and highly available systems using Google Could Platform.
• Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
• Experience in data processing including SQL and PySpark.

DESIRED CHARACTERISTICS

• Deep learning exparience in the areas different form the computer vision.
• Exposure to reinforcement learning based systems.
• Understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
• Experience with multi-billion record datasets.
• Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)
• Experience with television ratings and digital measurement tools (Nielsen, Rentrak, ComScore etc.)
• Experience with large-scale video assets
• Team oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
• Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal

Additional Information

NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

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